In this chapter, you learned how to convert a dataset into a time series dataset and how to extract the seasonal and trend components from the data. We acquired the capability to build a forecasting model using the ARIMA and Holt-Winters models and also got a brief introduction to the details of the parameters involved in the models to help in tweaking for better accuracy. Finally, we completed the chapter with methods to help in improving the overall accuracy.
In the next chapter, we will cover the concepts and implementation of recommendation systems using the collaborative filtering algorithm.